Abstract

Object of research: agricultural enterprises. The purpose of the research: to develop an approach for analyzing of the effectiveness for agro-industrial enterprises as economic subjects of nature management. Tasks: model description of environmental and economic efficiency for assessment based on the division of resources and results into internal and external; classification of natural and economic resources consumers in relation to the concepts of growth and development; analysis of the activities for multi-profile agricultural enterprises using formulated concepts and procedures. The use of a link between the classical economic theory and laws of technological development of branches for the methodology of research points (poles) of growth allows you to rank agricultural enterprises on the basis of the estimation for changes. For ecological and economic assessment of the effectiveness of the use for external and internal resources, the concept of generalizing coefficients that characterize the development of agricultural enterprises from different sides is formulated. Proposed and implemented method of monitoring for the formation of growth poles for the agroindustrial complex on the basis of the model describing for interrelationship and interdependence of groups, the natural resources and socio-economic indicators of efficiency of use for external and internal sources; proof of investments by assessing the capacity of individual farms. The novelty of the approach to the analysis of activity of agricultural enterprises: ecological and economic assessment of causation of natural and socio-economic resources with agricultural production results. The use of this method for studying of the development of ten enterprises of the agro-industrial complex of the Altai territory with the same task: the production of high-quality agricultural products revealed completely different trends in the use of external and internal resources. Parametric approximation to the development pole type with an external source allows to determine the subjects that are most promising for investment.

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